Bourrat Pierrick
Department of Philosophy, Macquarie University, North Ryde, NSW, 2109, Australia.
Department of Philosophy and Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia.
Theory Biosci. 2019 Nov;138(2):305-323. doi: 10.1007/s12064-019-00294-2. Epub 2019 May 7.
With a few exceptions, the literature on evolutionary transitions in individuality (ETIs) has mostly focused on the relationships between lower-level (particle-level) and higher-level (collective-level) selection, leaving aside the question of the relationship between particle-level and collective-level inheritance. Yet, without an account of this relationship, our hope to fully understand the evolutionary mechanisms underlying ETIs is impeded. To that effect, I present a highly idealized model to study the relationship between particle-level and collective-level heritability both when a collective-level trait is a linear function and when it is a nonlinear function of a particle-level trait. I first show that when a collective trait is a linear function of a particle-level trait, collective-level heritability is a by-product of particle-level heritability. It is equal to particle-level heritability, whether the particles interact randomly or not to form collectives. Second, I show that one effect of population structure is the reduction in variance in offspring collective-level character for a given parental collective. I propose that this reduction in variance is one dimension of individuality. Third, I show that even in the simple case of a nonlinear collective-level character, collective-level heritability is not only weak but also highly dependent on the frequency of the different types of particles in the global population. Finally, I show that population structure, because one of its effects is to reduce the variance in offspring collective-level character, allows not only for an increase in collective-level character but renders it less context dependent. This in turn permits a stable collective-level response to selection. The upshot is that population structure is a driver for ETIs. These results are particularly significant in that the relationship between population structure and collective-level heritability has, to my knowledge, not been previously explored in the context of ETIs.
除了少数例外情况,关于个体性进化转变(ETIs)的文献大多集中在较低层次(粒子层次)和较高层次(集体层次)选择之间的关系上,而忽略了粒子层次和集体层次遗传之间的关系问题。然而,如果不考虑这种关系,我们充分理解ETIs潜在进化机制的希望就会受到阻碍。为此,我提出一个高度理想化的模型,来研究当集体层次特征是粒子层次特征的线性函数以及非线性函数时,粒子层次和集体层次遗传力之间的关系。我首先表明,当集体特征是粒子层次特征的线性函数时,集体层次遗传力是粒子层次遗传力的一个副产品。无论粒子是否随机相互作用形成集体,它都等于粒子层次遗传力。其次,我表明种群结构的一个作用是降低给定亲代集体后代集体层次特征的方差。我提出这种方差的降低是个体性的一个维度。第三,我表明即使在集体层次特征为非线性的简单情况下,集体层次遗传力不仅微弱,而且高度依赖于全球种群中不同类型粒子的频率。最后,我表明种群结构由于其作用之一是降低后代集体层次特征的方差,不仅允许集体层次特征增加,而且使其对环境的依赖性降低。这反过来又允许对选择做出稳定的集体层次反应。结果是种群结构是ETIs的一个驱动因素。这些结果特别重要,因为据我所知,种群结构与集体层次遗传力之间的关系在ETIs的背景下此前尚未被探讨过。